Senior Data Engineer

Job Summary

We are looking for a senior data engineer with 6-8 years of experience in designing, developing, and maintaining enterprise-scale data platforms leveraging the Microsoft Azure ecosystem. The role requires expertise in data integration, data transformation, cloud-native data architectures, and data governance to enable reliable, secure, and scalable analytics solutions across the enterprise.

Experience with visualization and reporting tools such as Power BI is preferred at a familiarity level to support collaboration with analytics and business intelligence teams.

Key Responsibilities

• Design, develop, and maintain enterprise data pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.
• Build scalable ETL/ELT frameworks to ingest, transform, and process structured and unstructured data from multiple enterprise sources.
• Develop and optimize data models for enterprise reporting, analytics, and AI/ML use cases.
• Integrate data from APIs, databases, cloud platforms, and enterprise applications such as ServiceNow, SAP, and other business systems.
• Ensure data quality, lineage, governance, security, and compliance across the data platform.
• Implement performance tuning and optimization for large-scale datasets and data processing workloads.
• Collaborate with business, analytics, and engineering teams to design reliable and scalable data solutions.
• Support DevOps and CI/CD practices for data platform deployment and lifecycle management.

Required Skills

• Strong experience with Azure Data Engineering services.
• Azure Data Factory
• Azure Data Lake Storage
• Azure Synapse Analytics / Microsoft Fabric
• Azure SQL Database
• Advanced SQL and data modelling skills.
• Experience in ETL/ELT design and implementation.
• Python and/or Spark for data processing and automation.
• Data warehousing and lakehouse architecture concepts.
• Experience integrating APIs and enterprise data sources.
• Knowledge of data governance, security, and access control frameworks.
• Experience working with Git, CI/CD, and cloud-native deployment practices.

Good to Have

• Familiarity with Power BI or other data visualization platforms.
• Experience with Databricks, AI/ML, predictive analytics, or real-time streaming architectures.
• Exposure to Power Apps, Power Automate, and low-code platforms.
• Experience with industrial, operational technology OT, or enterprise asset management data domains.

The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.